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Page 500 can be slow because an offset query may still have to process every row before that page. Duplicate or missing rows are a separate problem: an incomplete sort order or data changing between requests can shift which records fall on each page. Use a deterministic order with a unique tie-breaker to make page boundaries predictable; for large sequential feeds, consider keyset pagination to avoid repeatedly skipping earlier rows.

Why offset pagination slows down on deep pages

Offset pagination asks the database to skip a number of rows, then return the next batch. For example, page 500 with 50 rows per page commonly means skipping 24,950 rows before returning the next 50. The exact query depends on the application, but the database cannot necessarily jump directly to the requested position: PostgreSQL documents that rows skipped by OFFSET still have to be computed, so a large offset may be inefficient. PostgreSQL 17: LIMIT and OFFSET

Django also warns that high page numbers can be slow when paginating large QuerySets because the underlying query uses LIMIT and OFFSET. Django: Paginator Page 500 is not a special threshold; the cost depends on the query, data, indexes, database, and workload. There is no universal latency or dataset size at which it becomes slow.

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Why pages can repeat or miss rows

The sort order does not uniquely order records

LIMIT and OFFSET select a slice; they do not establish a reliable row order. PostgreSQL cautions that limited results need an ORDER BY that constrains rows into a unique order. Without it, different requests can return unpredictable subsets. PostgreSQL 17: LIMIT and OFFSET

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A sort on a non-unique column, such as created_at, leaves records with equal values tied. Their relative order is not guaranteed, so a page boundary can cut through those ties differently from one request to the next. Add a unique tie-breaker, typically the primary key, to make the combined ordering unique. Django’s QuerySet documentation likewise notes that ordering is guaranteed only when the ordering fields uniquely identify each result. Django: QuerySet API reference

ORDER BY created_at DESC, id DESC

Rows change between separate page requests

Offset pages are usually fetched in separate requests. If a new record is inserted before the next offset, or an existing record is updated so it moves earlier or later in the sort order, the positions shift. The next request can then include a row seen on the previous page or skip one that has not been seen. This is a consequence of paginating a changing result set, not proof that OFFSET always creates duplicates.

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The query returns duplicate entities

Check whether joins produce multiple result rows for one entity, or whether application code duplicates records while assembling the response. Fixing the page order will not remove duplicates already present in the query result. Inspect the actual SQL, joins, filters, and returned identifiers before attributing the issue to pagination.

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Make offset page boundaries deterministic

Keep offset pagination when numbered pages and direct jumps matter, but order results consistently and uniquely. For a descending chronological list, a query might look like this:

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SELECT id, created_at, payload
FROM items
ORDER BY created_at DESC, id DESC
LIMIT 50 OFFSET 24950;

The tie-breaker matters even if timestamps are usually distinct: the ordering must uniquely distinguish every row, not merely most rows. Django recommends ordered QuerySets for consistent pagination. Django: Paginator

A unique order makes the selected slice predictable for an unchanged result set. It does not freeze the dataset across requests: inserts and updates can still shift offset positions. If the application needs a stable multi-page snapshot while data changes, that requires a separate consistency strategy; the pagination pattern alone does not guarantee one.

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When keyset pagination helps

Keyset pagination, also called cursor pagination, continues from the last row’s ordered value rather than asking the database to skip all preceding rows. It is often a better fit for a large feed that users browse forward or backward than for an interface where they jump directly to page 500. Django REST framework describes cursor pagination as suitable for large datasets and says properly used cursors can avoid showing the same item twice when other clients insert rows during paging. Django REST framework: Pagination

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For the same descending chronological order, the continuation query can use both the timestamp and unique ID from the last row of the previous page:

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SELECT id, created_at, payload
FROM items
WHERE (created_at, id) < (:last_created_at, :last_id)
ORDER BY created_at DESC, id DESC
LIMIT 50;

This is an illustrative pattern, not a universal drop-in query. Tuple comparison support, NULL behavior, and predicates for mixed sort directions vary by database. The continuation condition must match the precise ordering, and the query plan should be checked. An index aligned with filters and ordering can matter; Django REST framework specifically recommends indexing the cursor ordering field. Django REST framework: Pagination

Choose an order suitable for a cursor

Django REST framework recommends a stable ordering field that is unique or nearly unique, non-null, non-float, and indexed. If the chosen field is not unique, the cursor design must account for ties, for example by including a unique tie-breaker in the ordering and continuation logic. Avoid mutable sort values when possible: if a record’s position changes while a user pages, it can cross the cursor boundary.

Know the navigation trade-off

Cursor pagination naturally supports next/previous traversal; Django REST framework’s documented cursor paginator does not provide arbitrary page-number jumps. Offset pagination is usually simpler when the product needs numbered pages. If direct jumps are essential but deep offsets are too expensive, anchor or checkpoint schemes are possible, but add implementation complexity and should be justified by the product requirement.

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How to diagnose the problem in your application

  1. Inspect the actual ordering. Confirm the final SQL has an ORDER BY and that its columns together uniquely identify each result. Add a unique tie-breaker if they do not.
  2. Compare entity IDs across adjacent requests. This helps distinguish records repeated in the query result from boundary shifts between requests.
  3. Review joins and result handling. Check whether a join yields multiple rows per entity, and whether serializers or application-side merging duplicate them.
  4. Check for writes between requests. Determine whether inserts or updates can move rows ahead of the current offset or cursor boundary.
  5. Measure representative queries and inspect their plans. Include the real filters, ordering, indexes, page depth, and data volume. The cited documentation describes general behavior, not a benchmark or guaranteed speedup for your application.
  6. Choose pagination to fit navigation. Use offset when numbered positions matter and performance is acceptable; evaluate keyset when users primarily traverse a large result set sequentially.

Offset vs. keyset pagination

Decision Offset Keyset/cursor
Deep-page work Large offsets may be inefficient because skipped rows still have to be computed. PostgreSQL 17 documentation Can avoid deep skips when the ordering and query support efficient continuation. Django REST framework documentation
Navigation Maps naturally to numbered pages and direct positions. Best suited to next/previous traversal; the documented DRF cursor paginator does not offer arbitrary page-number jumps. Django REST framework documentation
Ordering Use an order that uniquely identifies the result sequence to avoid unpredictable subsets. PostgreSQL 17 documentation Requires stable ordering and a cursor that corresponds to it; ties need to be handled. Django REST framework documentation
Changing data Inserts or updates before a later offset can shift page boundaries across requests. DRF says properly used cursor pagination can avoid showing the same item twice when other clients insert rows. Django REST framework documentation
Implementation Simpler and convenient for numbered-page interfaces. Requires cursor handling and careful support for the chosen ordering. Django REST framework documentation

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